ABOUT ME
I am a Professor and Co-Director of Graduate Studies in the Department of Statistics, Rutgers University. My research interests include experimental design, causal inference, statistical modeling of physical and engineering systems and quality engineering.
I obtained my Ph.D. from the Industrial and Systems Engineering Department of Georgia Institute of Technology in 2007 under the supervision of Prof C. F. Jeff Wu and received the Sigma-Xi best doctoral thesis award for my dissertation.
I joined Harvard University in 2008 as an Assistant Professor and was promoted to the rank of Associate Professor in 2012. In the same year, I received the David Pickard award from Harvard University for excellence in teaching and mentoring. I have served as the research advisor of fourteen doctoral students till date.
I am a Fellow of the American Statistical Association. Part of my research has been funded by the Division of Civil, Mechanical and Manufacturing Innovation (CMMI), Division of Mathematical Sciences (DMS) and Division of the Social and Economic Sciences (SES) of the National Science Foundation. I have served on the Editorial Boards of Statistical Science, The Journal of the American Statistical Association, Journal of the Royal Statistical Society (Series B), Technometrics, Journal of Quality Technology and STAT.
RESEARCH INTERESTS:
-
Experimental Design: foundations, philosophies, methodologies, and applications
-
Causal Inference
-
Statistical modeling of complex physical and engineering systems
-
Quality Engineering and Statistical Process Control
RECENT NEWS
New papers:
-
Sengupta, S., Khamaru, K., Ghosh, S. and Dasgupta, T. (2026), “Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation," to appear in Biometrika. Arxiv version.
-
Pashley, N. E., Libgober, B. and Dasgupta, T. (2026), “Analysis and sample-size determination for 2^K audit experiments with binary response and application to identification of effect of racial discrimination on access to justice”, to appear in the Journal of the Royal Statistical Society, Series A. Arxiv version
UPCOMING TEXTBOOK
-
Dasgupta, T. and Rubin, D. B., Introduction to Modern Randomization-Based Design and Analysis for Causal Inference. Taylor and Francis.